“…[ 23 – 25 ] Remarkably, more than one third of athletes in our cohort were female, which might have significantly affected our rate of ECG pathology. The higher number of abnormal ECGs found in other studies may be explained by their design, using pathology-enriched ECGs, [ 12 , 13 , 21 ] the older 2010 th ECG interpretation algorithm with known higher prevalence of abnormal findings, [ 4 , 5 , 17 , 22 ] a random sample with young male soccer players with different races, [ 5 ] predominantly male athletes participating in high dynamic sports disciplines [ 4 , 23 ], and finally, a possible selection bias of athletes evaluated at international expert centers. [ 17 , 22 ] Inter-observer agreement may be lower in cohorts with mixed ethnicities and a larger variety of abnormal ECG patterns, requiring higher expertise of ECG interpretation.…”